The Relationship between Pre-Admission Waiting Time and the Surgical Outcomes after Hip Fracture Operation in the Elderly

Cost and time of hospitalization for elderly people with bone fractures in a reference hospital

OBJECTIVE

To describe and analyze the aspects regarding the cost and length of stay for elderly patients with bone fractures in a tertiary reference hospital.

METHODS

A cross-sectional retrospective study using data obtained from medical records between January and December 2020. For statistical analysis, exploratory analyses, Shapiro-Wilk test, χ2 test, and Spearman correlation were used.

RESULTS

During the study period, 156 elderly patients (62.2% women) with bone fractures were treated. The main trauma mechanism was a fall from a standing height (76.9%). The most common type of fracture in this sample was a transtrochanteric fracture of the femur, accounting for 40.4% of cases. The mean length of stay was 5.25 days. The total cost varied between R$2,006.53 and R$106,912.74 (average of R$15,695.76) (updated values). The mean daily cost of hospitalization was R$4,478.64. A positive correlation was found between the length of stay and total cost. No significant difference in cost was observed between the two main types of treated fractures.

CONCLUSION

Fractures in the elderly are frequent, resulting in significant costs. The longer the hospital stay for treatment, the higher the total cost. No correlation was found between total cost and number of comorbidities, number of medications used, and the comparison between the treatment of transtrochanteric and femoral neck fractures.

Reducing Waiting Times and Admission Periods through Pre-Admission Testing: A Quality Improvement Study on In-Hospital Renal Biopsy

Background: Admission for renal biopsy is considered the gold standard for diagnosing kidney disease. However, prolonged waiting times for admission can lead to delayed diagnosis. Despite this issue, there are currently no studies demonstrating how to improve the efficiency of renal biopsy procedures. Methods: We initiated a quality improvement project to implement pre-admission testing (PAT) for renal biopsy from 2016 to 2024 (until 15 April). Our evaluation focused on waiting times for admission, length of admission periods, hospitalization expenses, percentage of cases with no renal biopsy performed, incidence of severe bleeding due to renal biopsy, and percentage of cases with adequate tissue samples obtained. Additionally, we highlighted the time periods during the outbreak of SARS-CoV-2. Results: The highest annual case number was observed in time period 1 (168.3/year). Following the outbreak of SARS-CoV-2, there was a notable decrease in case numbers during time period 2 (119.8), which then increased to 143.0 in time period 3 (post-SARS-CoV-2 era). The mean waiting time was 13.72 ± 40.30 days for time period 1 and 10.00 ± 47.80 days for time period 2, without statistical significance. Following the implementation of PAT, patients now only need to wait approximately 0.76 days for admission, representing a significant reduction in waiting time. Subsequently, following the implementation of PAT, the waiting time decreased significantly to 2.09 ± 2.65 days. Additionally, hospitalization expenses per patient significantly decreased from approximately USD 69.62 ± 97.09 to USD 41.66 ± 52.82. The percentage of missed biopsy is significantly low (p < 0.001). Severe bleeding events (indicated as embolization and blood transfusion) were consistent across the three time periods (p = 0.617). Conclusions: The implementation of PAT can improve the pre-admission process for renal biopsy, resulting in decreased waiting times, fewer missed appointments, shorter admission durations, and reduced hospitalization expenses. We propose implementing PAT for outpatient individuals awaiting in-hospital renal biopsy procedures to mitigate delayed diagnosis, reduce pre-admission waiting periods, and streamline admission processes, thereby enhancing overall patient care efficiency.

Effect of preoperative sleep disorders on delirium in proximal femoral surgery patients aged 60 or older

OBJECTIVE

To examine the effect of preoperative sleep disorders on delirium in patients older than 60 years of age who underwent surgery for proximal femoral fracture.

METHODS

This is a prospective observational study. We prospectively selected 143 patients with proximal femoral fracture who underwent surgery between April 2021 and April 2022. The primary outcome was postoperative delirium (PD). Multiple logistic regression analyses were performed and a receiver operating characteristic (ROC) curve was generated. The preoperative sleep quality of all eligible participants was assessed through the Pittsburgh Sleep Quality Index (PSQI). The Confusion Assessment Method (CAM) was used to assess PD from the first to the seventh day postoperatively. Patients were divided into two groups according to the PD diagnosis: (1) the no PD (NPD) group and (2) the PD (PD) group.

RESULTS

Of 143 eligible patients, 43 (30.1%) were diagnosed with PD. Multiple logistic regression analysis demonstrated that postoperative ICU admissions (OR = 2.801, p = 0.049) and preoperative sleep disorders (OR = 1.477 p < 0.001) were independently associated with PD. A receiver operating characteristic (ROC) curve demonstrated that the preoperative PSQI score was predictive of PD (AUC 0.808, 95% CI 0.724 ~ 0.892, p < 0.001).

CONCLUSION

Preoperative sleeping disorders may be an independent risk factor leading to PD and an independent predictive factor for the development of delirium in proximal femoral surgery patients aged 60 or older.

Effects of technology-assisted rehabilitation for patients with hip arthroplasty: A meta-analysis

BACKGROUND

To investigate the efficacy of technology-assisted rehabilitation compared to that of usual care programs after total hip arthroplasty (THA) through randomized controlled trials (RCTs).

METHODS

The Medline (PubMed), Cochrane Library, Embase and Web of Science databases were searched for RCTs regarding the efficacy of technology-assisted rehabilitation following THA. Data were analyzed using Stata 12.0 software.

RESULTS

Eleven RCTs involving 1327 patients were included in the meta-analysis. The pooled effect size showed that compared to usual care, telerehabilitation significantly improved the Harris score (standardized mean difference [SMD] 0.74, 95% confidence interval [CI] 0.58 to 0.90) and functional independence measure (FIM) score (SMD 1.26, 95% CI 0.48 to 2.03). In addition, video-based therapy could significantly improve walk test results (SMD 0.43, 95% CI 0.11 to 0.75).

CONCLUSION

The findings suggest that technology-assisted rehabilitation, especially telerehabilitation, have been shown to improve the physical function of patients following THA compared to conventional rehabilitation. More robust studies are needed to validate the long-term efficacy and safety of innovative technology-assisted training strategies.

Do we understand each other when we develop and implement hip fracture models of care? A systematic review with narrative synthesis

BACKGROUND

A hip fracture in an older person is a devastating injury. It impacts functional mobility, independence and survival. Models of care may provide a means for delivering integrated hip fracture care in less well-resourced settings. The aim of this review was to determine the elements of hip fracture models of care to inform the development of an adaptable model of care for low and middle-income countries (LMICs).

METHODS

Multiple databases were searched for papers reporting a hip fracture model of care for any part of the patient pathway from injury to rehabilitation. Results were limited to publications from 2000. Titles, abstracts and full texts were screened based on eligibility criteria. Papers were evaluated with an equity lens against eight conceptual criteria adapted from an existing description of a model of care.

RESULTS

82 papers were included, half of which were published since 2015. Only two papers were from middle-income countries and only two papers were evaluated as reporting all conceptual criteria from the existing description. The most identified criterion was an evidence-informed intervention and the least identified was the inclusion of patient stakeholders.

CONCLUSION

Interventions described as models of care for hip fracture are unlikely to include previously described conceptual criteria. They are most likely to be orthogeriatric approaches to service delivery, which is a barrier to their implementation in resource-limited settings. In LMICs, the provision of orthogeriatric competencies by other team members is an area for further investigation.

Construction and validation of a risk prediction model for delayed discharge in elderly patients with hip fracture

BACKGROUND

Because of their poor physical state, elderly hip fracture patients commonly require prolonged hospitalization, resulting in a drop in bed circulation rate and an increased financial burden. There are currently few predictive models for delayed hospital discharge for hip fractures. This research aimed to develop the optimal model for delayed hospital discharge for hip fractures in order to support clinical decision-making.

METHODS

This case-control research consisted of 1259 patients who were continuously hospitalized in the orthopedic unit of an acute hospital in Tianjin due to a fragility hip fracture between January and December 2021. Delayed discharge was defined as a hospital stay of more than 11 days. The prediction model was constructed through the use of a Cox proportional hazards regression model. Furthermore, the constructed prediction model was transformed into a nomogram. The model's performance was assessed using the area under the receiver operating characteristic curve (AUC), calibration curves and decision curve analysis (DCA). the STROBE checklist was used as the reporting guideline.

RESULTS

The risk prediction model developed contained the Charlson Comorbidity Index (CCI), preoperative waiting time, anemia, hypoalbuminemia, and lower limbs arteriosclerosis. The AUC for the risk of delayed discharge was in the training set was 0.820 (95% CI,0.79 ~ 0.85) and 0.817 in the testing sets. The calibration revealed that the forecasted cumulative risk and observed probability of delayed discharge were quite similar. Using the risk prediction model, a higher net benefit was observed than when considered all patients were at high risk, demonstrating good clinical usefulness.

CONCLUSION

Our prediction models could support policymakers in developing strategies for the optimal management of hip fracture patients, with a particular emphasis on individuals at high risk of prolonged LOS.

Access to surgical care in Ethiopia: a cross-sectional retrospective data review

BACKGROUND

Access to emergency and essential surgical care is still unmet and accessibility is disproportionately inequitable in Ethiopia and other low-and middle-income countries. The aim of this study was to assess surgical care access in terms of capability, capacity, and timeliness of care in different levels of health care in Ethiopia.

METHODS

A cross-sectional study with retrospective data review was conducted in 172 health facilities from December 30, 2020 to June 10, 2021. Descriptive statistics such as median with interquartile range and proportion were computed using STATA Version 15 statistical software.

RESULTS

Within a 90-day interval of the study period, 69,717 major and minor surgeries, and 33,052 bellwether procedures were performed, and major surgeries accounted for 58% of the surgeries. About 1.6%, 23.56%, 25.34%, and 32.2% of both major and minor, and 3.1%, 12.8%, 27.6%, and 45.3% of bellwether procedures were performed in health center OR blocks, primary, general, and specialized hospitals, respectively. Private hospitals performed 17.33% of major and minor and 11.2% of bellwether procedures for the period. The average pre-admission waiting time for surgical patients in primary, general, and specialized hospitals was 9.68, 37.6, and 35.9 days, respectively, whereas, in private hospitals, the average pre-admission waiting time was 1.42 days. On average, surgical patients traveled 5 Hrs, 11 Hrs, 28.4 Hrs, and 21.3 Hrs to access surgical services in primary, general, specialized, and private hospitals, respectively. The surgical workforce to the population served ratio was 7.5, 1.15, and 1.31/100.000 population in primary, specialized and general hospitals, respectively.

CONCLUSION

Most surgical procedures were performed in specialized hospitals, indicating that there is a burden in these health facilities. The pre-admission waiting time for surgical patients was long in higher-level public hospitals. Surgical patients traveled a long distance to access surgical service in higher level hospitals. The ratio of surgical workforce per 100,000 population served was low in all levels of public health facilities in general, and in higher level hospitals in particular. Efforts should therefore be made to strengthen all levels of the health system and improve surgical care access in terms of capacity, capability, and timeliness in the country.

Incidence and Risk Factors for Surgical Site Infection after Femoral Neck Fracture Surgery: An Observational Cohort Study of 2218 Patients

Background

Surgical site infection (SSI) was a formidable challenge for surgical management of femoral neck fractures; however, there was a lack of studies with comprehensive variables. We conducted this study to investigate the incidence and risk factors of SSI in elderly patients with femoral neck fractures.

Methods

This was a retrospective study of patients who presented with femoral neck fractures and underwent surgery in our institution between January 2016 and April 2020. All data were collected from a previously validated database. Patients were divided into SSI and non-SSI groups. Univariate and multivariate logistic regression analyses were conducted to identify the risk factors for SSI.

Results

A total of 2218 patients with femoral neck fractures were enrolled in the study, of whom 22 (1%) developed SSI, including 15 (0.7%) superficial and 7 (0.3%) deep SSIs. After multivariable adjustment for confounding factors, patients with and without SSI significantly differ in terms of gender, prolonged time to surgery, CHE < 5 U/L, and injury mechanism.

Conclusions

Our results were helpful for stratification of SSI risk and improved management of hip fracture. Clinicians should be alert to patients with these factors and improve modifiable factors such as preoperative waiting time.